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Till now no study has been undertaken which test the knowledge management processes for creating dynamic capabilities on the basis of organization structures with interpersonal trust as an important variable. This paper serves as a preliminary study proposing an integrated conceptual model that unmistakably unifies the notions of knowledge management and dynamic capability.

Through an exhaustive literature review, the study explores the role of knowledge management in building dynamic capabilities within the organizations. Through the available literature, authors have attempted to study the relevance of knowledge management against the backdrop of Structuration theory.

Through their proposed framework, authors posit that the structural elements of an organization set the tone for knowledge management within the organization. Organizations face dynamic challenges from the external environment, and in absence of interpersonal trust the creation of dynamic capabilities becomes difficult.

First, the current study enriches the growing research interest in Knowledge management. Second, the study connects Knowledge management and interpersonal trust within the organizations, which in turn is influenced by the structure of the organization. Structures created in the organization decide the direction, quality and quantity of knowledge sharing within the organizations both through social systems and through formal reporting systems. Thus, this paper serves as a preliminary study proposing an integrated conceptual model that unmistakably unifies the notions of knowledge management and dynamic capability.

The purpose of this paper is to highlight how Artificial intelligence (AI) and its subsets are changing the face of the accounting and finance (A&F) profession. Expectations from A&F professionals are changing due to the expeditious changes in technology. This paper proposes new skill set expectations from these professionals.

This is a viewpoint paper based on the opinions/views of the employees working in medium and large organizations in A&F in the United Arab Emirates (UAE). The employee viewpoints were gathered through an emailed questionnaire.

This paper illustrates the need to embrace technology and acquire the necessary skills to work in conjunction with machines. This will help A&F professionals to meet the changing expectations of employers.

This paper emphasizes the usefulness of training, learning, and development of the skills necessary for A&F professionals to work with AI and its subsets.

This paper discusses how AI will bring in challenges and opportunities in the future. It suggests how A&F professionals can embrace technology (driven by AI) and understand to work with it.

This paper aims to attempt to explore the nature of relationship between work–life balance and emotional exhaustion experienced by the employed individuals while working from home during the pandemic COVID-19 induced nationwide lockdown in the Indian setting.

Data were collected from 180 working professionals in North India who were working from home during the lockdown. PROCESS macro developed for SPSS was used to test the hypotheses.

Findings depicted that in comparison to men, women felt more emotional exhaustion due to personal life interference in work during work from home period. Surprisingly, the relationship between work interference with personal life, and emotional exhaustion did not differ by gender. It was found that the participative leadership could contribute to reduction of work interference with personal life, and through such an influence, emotional exhaustion experienced by an employee could be reduced to some extent.

Many previous studies have explored the nature of the relationship between work–life balance and emotional exhaustion, but rarely any study could cover any Pandemic affected working scenario. This study attempted to investigate such a relationship when employees were obligated to mandatorily work from home during the countrywide lockdown.

Personality traits are assumed to influence cognitive processes as well as academic motivation and learning approaches of the students. Based on these assumptions, the present study investigates the association of HEXACO personality traits with academic motivation as well as influence of those traits on students' learning approaches in educational contexts.

Self-reported measures of personality orientation, academic motivation and learning approaches were obtained from 404 respondents in a classroom environment. The SPSS 20 software was used to conduct the correlations and the hierarchical regression analyses. The Eviews 10 software was used to develop the structural equation model to find the inter-relations among the study variables.

The findings reveal the influence of personality traits on academic motivation and learning approaches of the students. Among different personality traits, consciousness appeared to have highly positive impact on deep learning and intrinsic motivation of the studies. Neuroticism appeared to have most negative impact related to surface learning and amotivation of the learning contents.

The findings validates the existence of HEXACO personality traits among the students in central Asian context. It future reiterated individual differences in learning strategies and learning motivation among the learners. The results may help academics and policy makers take appropriate measures to increase academic motivation and select appropriate learning approaches.

This is one of the pioneer studies to investigate the relationship between HEXACO personality traits, learning strategies and academic motivation. Validation of the HEXACO framework will help to understand students' personality in a more detailed and elaborative way and will contribute to the existing literature on personality and learning outcomes.

In developing nations, the utility and intention to use algorithmic trading (AT) platforms and financial services are predominantly reliant on investors’ technological knowledge. This study aims to investigate the effect of investor awareness of AT (AAT), trust in AT (TAT), and acceptance of innovativeness (AOI) on intention to use the AT (IUAT) platforms among Indian investors.

The authors used a structured questionnaire with a five-point Likert scale to collect the data from 392 Indian retail investors through a purposeful sampling approach. And, the authors carried out structural equation modeling to analyze the serial mediation among the latent (independent) and observed (dependent) variables.

The findings suggest that investor awareness exerts a statistically significant and positive effect on the IUAT platforms. Additionally, TAT platforms and innovation acceptance, independently as well as mediator, significantly influences the usage decision of AT platforms among Indian investors.

The findings on determinants of AT platform usage can guide investment regulators to promote technological awareness, build trust, and provide a safe algorithmic trading environment for retail investors in India. The suggestions may take the edge off a few behavioural impediments among the investors w.r.t. AT platform usage.

Off the back of extensive literary exploration our field research is among the first that probes an intellectual discourse and documents the empirical evidence on linkages between investor AAT, TAT, AOI and the IUAT platforms in the Indian stock market.

Circular economy (CE) has evolved as a result of the growing environmental awareness, environmental legislation and the need for social responsibility. However, awareness levels of CE are not as high as expected and practices are further behind than they should be, with a significant lack of research around the subject in the literature. Therefore, the purpose of this paper is to examine the current state of awareness levels and the practices around CE in manufacturing firms. Moreover, the study aims to empirically validate one of the earlier proposed CE models.

The study adopts a quantitative survey questionnaire based approach. More than 500 people from various manufacturing organisations were contacted directly over a 40-day long sampling process through the FAME database, personal contacts and LinkedIn. The survey resulted in 103 completed responses. Given the exploratory nature of the study, the data were mainly analysed using descriptive statistics. To validate the CE model, a correlation analysis was also conducted.

The research findings show that with the growing emphasis on CE across the globe by governing bodies, firms are becoming more aware of CE practices. The analysis also shows some useful insights on the state of each of the pillars (economic benefits, environmental impact and resource scarcity) of CE. The findings also indicate that the environmental impact pillar of CE is at a more developed state than the other two pillars which are, mostly, in a research state.

The study provides manufacturing firms with a thorough understanding of the state of CE practices and importance of its successful implementation. The findings of the study advocates consideration of all three pillars of CE by managers as a guide to plan for an efficient strategy around CE implementation. Moreover, our study adds to existing efforts by the academic community to raise the awareness towards CE practice among all relevant stakeholders. The findings of this study are based on the responses from a limited 103 survey responses from manufacturing firms.

This study adds to the very limited empirical literature on CE awareness and practices in manufacturing firms. This is also one of the first studies attempting to empirically validate an existing CE model.

The study aims to explore how young consumers perceive and adopt the online e-waste collection platform, by developing a conceptual framework that integrates the theory of planned behavior, the technology acceptance model and the perceived risk. Based on conceptual framework, the study further identifies factors that positively or negatively influence the Chinese millennials' decision on the use of online collection platform.

The study conducts a questionnaire survey from 807 Chinese millennials living in urban and rural areas. Based on the collected data, the partial least squares structural equation modeling (PLS-SEM) is employed to conduct PLS path modeling and multi-group analysis.

The study results support the proposed conceptual framework and confirm its robustness in investigating Chinese millennials' intentions to adopt online e-waste collection platform. The findings suggest that the perceived usefulness, perceived ease of use, attitude, subjective norms and perceived behavioral control have positive impact, while perceived risk has negative impact on the behavioral intentions of millennials on the adoption of the platform.

With the emergence of Internet technology, online e-waste collection platform has arisen as an innovative and alternative solution to improve environmental sustainability by encouraging e-waste collection through formal recycling channels in China. In order to divert the consumers from informal recycling channels to online e-waste collection platform, it is necessary to understand what factors impact the adoption of this platform among consumers. The study provides theoretical contribution and practical implications relevant to regulators and practitioners to encourage the adoption of online e-waste collection platform.

This study aims to examine the impact of macroeconomic fundamentals on exchange rates of selected South Asian economies during 1981-2013.

The authors have used two econometric approaches to the data. For the pooled sample, estimated generalized least square (EGLS) and the two-stage least square method are applied. For the panel data, the authors have used the panel generalized method of moments and ordinary least squares (OLS) methods.

The results suggest that macroeconomic factors have a significant impact on exchange rates. The robust findings highlight that improvements in domestic economic and political systems are crucial for a successful exchange rate policy.

The existing literature on exchange rate fundamentals have either focused on exchange rates and international trade or investigated the relationship for the developed economies. Covering a period of more than three decades, and using both pooled and panel estimations, our study is unique in terms of its focus on the South Asian economies.

This study aims to present a comprehensive review of the scientific literature on gig work and the social responsibility towards them; the study highlights the evolving nature of work, career and organisation, focussing on their social responsibility towards gig work.

A systematic review of 186 selected articles published since the beginning of the gig economy research. Quantitative bibliometric and framework-based review techniques were used to analyse theoretical nuances, themes, antecedents and contextual factors.

Factors responsible for the social responsibility towards gig work were identified. The factors were categorised into individual, organisational and social-related attributes. Overall, the contextual factors, top articles, authors and journals suggested that gig work research is increasing exponentially across the globe.

The understanding of the factors influencing the gig work explored, the long-term implications of disruptions or gig workers’ well-being and exploring the impact of social and cultural aspects of the gig work research.

To the best of the authors’ knowledge, this is one of the first studies to analyse the factors influencing social responsibility towards gig work in the changing nature of work, career and organisation. The study provides future directions for expanding the scholarship, resulting in the sustainability of this form of employment.

Despite the popularity of gig employment amid the changing business landscape, gig scholarship is somewhat limited and the untold reality about gig is yet to be fully revealed. This study aims to critically address the nature of gig employment, its ambiguities, evolution, theoretical premises and the appropriate future road ahead.

This paper adopts a dual analytical approach – bibliometric and thematic analyses. After incorporating the exclusion–inclusion criteria, the authors identified 2,135 articles for the bibliometric analyses by using VOSviewer. Additionally, for the deep-delving synthesis, the authors conducted thematic analyses following Braun and Clarke (2006), based on 351 papers.

The findings revealed that gig work, in its different forms, is emerging as an alternative work arrangement with respect to the future of work. This study also identified multilevel perspectives of gig employment along with its holistic nomological network. Finally, this study offers some critical research directions that should help enhance the theoretical and practical strengths of this nascent scholarship in future.

The review findings are limited in nature owing to the paucity of quality research papers published in the said domain.

The paper brings more clarity to what gig is and isn’t, along with its critical perspectives from multilevel lenses.

This paper identifies critical perspectives related to gig work and suggests appropriate directions for future gig work related scholarship.